Hybrid Model using Firefly and BBO for Feature Selection in Software Product Line

Author(s): Hitesh Yadav*, Rita Chhikara, Charan Kumari

Journal Name: Recent Advances in Computer Science and Communications
Formerly Recent Patents on Computer Science

Volume 14 , Issue 9 , 2021


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Abstract:

Background: Software Product Line is the group of multiple software systems that share a similar set of features with multiple variants. Feature model is used to capture and organize features used in different multiple organizations.

Objective: The objective of this research article is to obtain an optimized subset of features capable of providing high performance.

Methods: In order to achieve the desired objective, two methods have been proposed; a) an improved objective function which is used to compute the contribution of each feature with weightbased methodology; and b) a hybrid model that is employed to optimize the Software Product Line problem.

Results: Feature sets varying in size from 100 to 1000 have been used to compute the performance of the Software Product Line.

Conclusion: The results show that the proposed hybrid model outperforms the state of art metaheuristic algorithms.

Keywords: Biogeography-based optimization, feature model, software product line, firefly algorithm, hybrid model, objective function.

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Article Details

VOLUME: 14
ISSUE: 9
Year: 2021
Published on: 10 July, 2020
Page: [2746 - 2752]
Pages: 7
DOI: 10.2174/2666255813999200710132013
Price: $95

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